Application of Big Data Visualization Analysis in the Digital Transformation of Outsourced Manufacturing Business for Automotive Accessories
With the advancement of informatization,enterprises are encountering challenges such as data silos and inconsis-tent statistical standards,which hinders the acquisition of comprehensive and multidimensional business analysis reports.To tackle this issue,this study is based on the smart manufacturing prerequisites and the company's"Smart Supply Chain Platform"development strategy.By harnessing the power of big data visualization analysis,this study conducts modeling and analysis on the operations and management of the outsourced manufacturing businesses specializing in automotive ac-cessories to facilitate digital transformation.The main objective of this study is to innovate and optimize processes,address operational pain points,improve data correlation and comparison efficiency,thereby enabling the quick and convenient ex-traction of valuable management insights from data.
NETL
NSTL
万方数据
